使用 Pandas 将 HTML 脚本中的 @Type 抓取到 csv 文件中 [英] Scraping @Type from HTML Script into a csv file using pandas
问题描述
我是第一次尝试网络抓取,但遇到了很多麻烦,尤其是因为我应该使用的网站尽力阻止抓取库.我下载了 HTML 代码,但我想收集以制作 csv 文件的数据不在标签中(如 div、li、...).就像@type 显示字典一样.我需要制作一个数据集,其中的列显示字典中的列(评级值、作者、URL 和描述).我下载的 HTML 源代码附在下面.感谢您的帮助!
I am trying web scraping for the first time and I am having a lot of trouble especially because the website I am supposed to use tries its best to block scraping libraries. I downloaded the HTML code, but the data I want to collect to make a csv file is not in tags (like div, li,...). It is as @type showing a dictionary. I need to make a dataset with columns showing those in the dictionary (Rating Value, Author, URL, and description). The HTML source code I downloaded is attached below. Would appreciate your help!
这是我用来抓取它的代码:
and here is the code I used to scrape it:
from bs4 import BeautifulSoup
import requests
import re
import pandas as pd
from selenium import webdriver
import codecs
import os
import numpy as np
import pandas as pd
#import nltk
#import matplotlib.pyplot as plt
#from tensorflow import keras
os.system('cls')
PATH = "C:\\Users\\HCES\\Downloads\\chromedriver.exe"
driver = webdriver.Chrome(PATH)
i=1
driver.get("https://www.zomato.com/beirut/divvy-ashrafieh/reviews?page= {}&sort=dd&filter=reviews-dd".format(i))
page_source = driver.page_source
soup = BeautifulSoup(page_source,"lxml")
推荐答案
import json
import re
import requests
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:90.0) Gecko/20100101 Firefox/90.0'
}
def main(url, page):
params = {
'page': page,
'sort': 'dd',
'filter': 'reviews-dd'
}
r = requests.get(url, params=params, headers=headers)
match = re.search(r'\.parse\((.*)\)', r.text).group(1)
goal = json.loads(json.loads(match))
print(goal.keys())
main('https://www.zomato.com/beirut/divvy-ashrafieh/reviews', 1)
输出:
dict_keys(['pages', 'blogData', 'pageUrlMappings', 'careers', 'allJobs', 'department', 'aboutus', 'sneakpeek', 'apiState', 'entities', 'user', 'uiLogic', 'location', 'gAds', 'footer', 'langKeys', 'deviceSpecificInfo', 'pageBlockerInfo', 'fullPageAds', 'networkState', 'fetchConfigs', 'hrefLangInfo', 'pageConfig', 'partnershipLoginModal', 'partnershipLoginOptionModal', 'doesNotDeliverModal', 'backButton'])
这篇关于使用 Pandas 将 HTML 脚本中的 @Type 抓取到 csv 文件中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!